Gv

G. van Tulder

4 records found

Improving Generalizability in X-Ray Segmentation of the femur

Evaluating the Impact of Traditional Data Augmentation Techniques on the generalizability across Datasets

An accurate segmentation model for hip compo- nents could improve the diagnosis of Osteoarthritis, a prevalent age-related condition affecting joints. A significant challenge in developing effective and robust segmentation models are the domain differ- ences across various datase ...

Challenges in Domain Adaptation for Medical Image Segmentation

A Study on Generalization of Hip X-Ray Segmentation for Osteoarthritis

Osteoarthritis is a degenerative disease that affects the aging population by degrading the cartilage in the joints. The early and accurate diagnosis of this disease is key to effective treatment. For an early and accurate diagnosis of this disease, clinicians often use X-ray ima ...

X-Ray Image Segmentation of the Hip Joint

Segmentation of the hip joint space based on a radial projection originating from the center of the femoral head

The severity of hip osteoarthritis is measured a.o. by the minimal distance between the femoral head and the acetabular roof in an X-ray image. However, the whole joint space profile might be a more accurate estimator, since it would include irregularities in the bone surface. Th ...
Deep learning based architectures have been applied to semantic segmentation tasks in medicalimaging with great success. However, such modelsare heavily reliant on the quality of the groundtruth segmentation mask and hence are susceptibleto label noise. To address this issue, thi ...